An exploratory study of co-located collaborative visual analytics around a tabletop display

An exploratory study of co-located collaborative visual analytics around a tabletop display
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围绕桌面显示器的协同定位协作视觉分析的探索性研究

DOI:
10.1109/vast.2010.5652880
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发表时间:
2010
期刊:
2010 IEEE Symposium on Visual Analytics Science and Technology
影响因子:
--
通讯作者:
M. Czerwinski
M. Czerwinski
中科院分区:
--
文献类型:
--
作者:
Petra Isenberg;Danyel Fisher;M. Morris;K. Quinn;M. Czerwinski

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在复杂的视觉分析任务中,共同的协作可能非常有价值。本文介绍了旨在支持数字桌面显示器上协作视觉分析任务的系统的探索性研究。 15个参与者配对使用了视觉分析系统CAM-BIERA来解决涉及240个数字文档的问题。我们的分析得到了观察,系统日志,问卷调查和访谈数据的支持,探讨了对如何解决桌子周围的问题。我们对用户如何在桌子周围共同努力并确定八种类型的协作风格的独特,丰富的了解,这些方式可用于确定人们在解决问题时如何共同努力。我们展示了团队合作的亲密关系如何影响他们在整个任务上的表现。我们进一步讨论了桌面在视觉分析任务中的作用,并为未来共同定位的协作桌面问题解决系统带来了新颖的设计含义。
Co-located collaboration can be extremely valuable during complex visual analytics tasks. This paper presents an exploratory study of a system designed to support collaborative visual analysis tasks on a digital tabletop display. Fifteen participant pairs employed Cam-biera, a visual analytics system, to solve a problem involving 240 digital documents. Our analysis, supported by observations, system logs, questionnaires, and interview data, explores how pairs approached the problem around the table. We contribute a unique, rich understanding of how users worked together around the table and identify eight types of collaboration styles that can be used to identify how closely people work together while problem solving. We show how the closeness of teams' collaboration influenced how well they performed on the task overall. We further discuss the role of the tabletop for visual analytics tasks and derive novel design implications for future co-located collaborative tabletop problem solving systems.